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Models/Frustum PointNets

Frustum PointNets

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

3DonSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D ClassificationonSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
2D Object DetectiononSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
16konSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488

Computer Vision2 results

Object DetectiononSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488
3D Object DetectiononSUN-RGBD
mAP@0.25· 2017-11-22
54
best: 67 (Uni3DETR)
SOTA
Frustum PointNets for 3D Object Detection from RGB-D Data arXiv:1711.08488